What makes an AI automation actually client-ready?
I’m curious how people here think about this.
I’m seeing a lot of automations that look impressive in a demo, but the real test is whether they hold up once they’re inside a business.
To me, “client-ready” means it can survive the real world — messy inputs, missed steps, edge cases, handoffs, failures, and actual business pressure.
The AI part may be the flashy piece, but the boring parts are usually what make it valuable.
Curious how everyone here thinks about this:
Before you hand an automation to a client, what is your biggest non-negotiable?
Vote below — and if your answer is “it depends,” comment with what you always check before calling an automation ready.
The trigger is clear
The owner is clear
Failures are logged
The human handoff is obvious
The output can be checked
It saves time or creates revenue
It does not need constant babysitting
Other - Comment below
10 votes
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4 comments
Alex Brockway
3
What makes an AI automation actually client-ready?
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